Adaptive Equivalent Consumption Minimization Strategy for Fuel Cell Buses Based on Driving Style Recognition
Kun He,
Dongchen Qin (),
Jiangyi Chen,
Tingting Wang,
Hongxia Wu and
Peizhuo Wang
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Kun He: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Dongchen Qin: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Jiangyi Chen: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Tingting Wang: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Hongxia Wu: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Peizhuo Wang: School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Sustainability, 2023, vol. 15, issue 10, 1-17
Abstract:
Driving style has a significant effect on the operating economy of fuel cell buses (FCBs). To reduce hydrogen consumption and prolong the fuel cell life of FCBs, this paper proposes an online adaptive equivalent consumption minimum strategy (A-ECMS) based on driving style recognition. Firstly, driving data from various drivers is collected, and a standard driving cycle is created. Neural networks are then used to identify driving conditions, and three fuzzy logic recognizers are developed to identify driving styles for different driving conditions. The driving style factor is associated with the equivalent factor using an optimization algorithm that incorporates hydrogen consumption cost and fuel cell degradation cost into the objective function. Simulation results demonstrate that the proposed A-ECMS can reduce equivalent hydrogen consumption, prolong fuel cell life, and result in a 6.2% reduction in total operating cost compared to the traditional method.
Keywords: driving style recognition; equivalent consumption minimization strategy; fuel cell degradation; fuel cell bus (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:10:p:7781-:d:1142973
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